Sr Software Engineer IND

Role Title: Sr Software Engineer IND Position Summary: Participates as a team member in the design, development, and maintenance of multi-tiered business applications. Individuals holding this position are typically expected to work independently as a member of a team. Incumbents have an understanding of technology landscape, tools, and existing designs.

This individual also participates fully in all team practices and standards. This role interfaces with IT colleagues and other stakeholders to evaluate defined complex business requirements and processes. Incumbents play a role in building application solutions which may involve diverse development platforms, software, hardware, technologies, and tools.

Demonstrates personal accountability and engages the team in demonstrating accountability. Supports quality efforts within the team. Job Responsibilities: Analysis & Design Analyses impact of requirements and works with senior team members on software solutions.

Must consider usability, extensibility, efficiency, and performance during all phases of development. Builds secure, maintainable, testable, and evolvable software. Participates in designing software solutions and prepares technical documentation.

Participates in design reviews. Contributes to the product backlogs. Adopts Enterprise initiatives as required.

Helps develop business relationships and integrate activities with other IT departments as appropriate to ensure successful implementation and support efforts. Development Estimation: Develops technical estimates and timeframes without having complete information and provides confidence level in estimate. Coding: Designs and builds complex business applications and prepares technical specifications to develop software solutions.

Adopts FM Global best practices, architectural principles, and security standards. Develops software to transform and migrate data across environments. Actively participates in peer code reviews and is responsible for code quality.

Test Automation: Responsible for writing pre-deployment automated tests for own delivered code. Participates in testing and debugging of overall system as required. Reviews automated test code to ensure appropriate test coverage.

Demonstrates ability to setup and monitor automated tests in the CICD pipeline. Support: Supports effort to implement application in production and support post-production. Development work includes detailed, high quality documentation at appropriate level to allow for maintenance and support.

Supports reduction of technical debt and mitigates risks associated with upgrades. Research Participates in continuous improvement through experimentation to stay abreast of the changing technological landscape and presents value to the product organization. Engages in delivery of applicable enterprise initiatives.

Participates within learning forums. Understands the technology/business landscape. Leadership Demonstrates and continuously broadens technical capabilities and domain knowledge.

Enable successful outcomes on teams by proactively identifying and raising transparency of impediments. Mentors junior team members. Fosters teamwork and excellent communication among team members.

Provides meaningful feedback . Skill and Experience: 3+ years of experiencerequired to perform essential job functions. Additional Experience Qualifier (optional): 5+ years of application development experience with large scale business applications in a fastpaced iterative development environment. 3+ years designing, developing, and implementing business applications from business concept through production.

Object-oriented design, development, and implementation of business applications in current computing architectures. Working knowledge of some of the relevant technologies: front end tools, middleware, Databases, ORMs, development frameworks, design patterns, API design, Test Automation, DevOps, Cloud Architecture, and Enterprise Integration Patterns. Ability to demonstrate skills in solving complex problems within the scope of the team.

Strong analytical skills preferred. Ability to develop accurate estimates for complex solutions. Strong interpersonal skills are required.

Strong work ethic and ability to demonstrate personal accountability for successful product delivery. Strong verbal and written communication skills with an ability to translate technical concepts to the appropriate level of the audience. Ability to work self-directed as part of a cross-functional team and shows commitment to the product and team.

Demonstrates a sense of urgency in the team and focuses on efficient delivery. Ability to present technical concepts is desired. Must Have Skills: AI Leadership: Design, standardize, and govern machine-readable specifications (Markdown, JSON, YAML) that drive AI planning, development, testing, and deployment while meeting audit and documentation expectations.

AI Agent Architecture and Orchestration: Architect reusable AI agents (planner, coder, reviewer, tester, release) with clearly defined responsibilities, traceability, and control points aligned to internal governance standards. LLM Prompt and Instruction Design: Author structured prompts, system instructions, and spec templates that produce consistent, explainable outputs suitable for regulated and enterprise environments. Human-in-the-Loop Control Models: Implement human review, approval gates, and escalation paths within AI workflows to satisfy compliance, risk management, and quality assurance requirements.

Shared Platform and Reuse Mindset: Build common specs, agents, and frameworks intended for enterprise-wide reuse, ensuring consistent enforcement of standards, controls, and compliance expectations. AI Quality, Validation, and Drift Management: Establish validation strategies for AI-generated outputs, including testing, monitoring, and drift detection, with evidence suitable for audit and continuous improvement. Secure and Compliant AI Development: Embed security, privacy, IP protection, and compliance controls directly into specs, prompts, and agent behavior across the AI SDLC.

CI/CD Integration for AI SDLC: Integrate AI agents and spec-driven workflows into CI/CD pipelines with versioning, approval workflows, and traceability to support regulated software delivery. Cross-Functional Technical Leadership: Collaborate with security, legal, compliance, QA, and platform teams to align shared AI specs, agent standards, and operating models. Change Enablement and AI Governance Adoption: Lead the transition from traditional development to spec-driven AI development, coaching teams on compliant usage patterns, governance guardrails, and responsible AI practices.

Skills required: LLM Prompt Azure Software Engineer with AI Enablement AI Agent Architecture and Orchestration Generative AI- Strong plus Familiarity with C#/Python Education and Certifications: 4 Year / Bachelors Degree required Work location: Bengaluru